Class

com.salesforce.op.stages.impl.preparators

CategoricalStats

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case class CategoricalStats(categoricalFeatures: Array[String] = Array.empty, cramersVs: Array[Double] = Array.empty, pointwiseMutualInfos: Type = LabelWiseValues.empty, mutualInfos: Array[Double] = Array.empty, counts: Type = LabelWiseValues.empty) extends MetadataLike with Product with Serializable

Container class for statistics calculated from contingency tables constructed from categorical variables

categoricalFeatures

Names of features that we performed categorical tests on

cramersVs

Values of cramersV for each feature (should be the same for everything coming from the same contingency matrix)

pointwiseMutualInfos

Map from label value (as a string) to an Array (over features) of PMI values

mutualInfos

Values of MI for each feature (should be the same for everything coming from the same contingency matrix)

counts

Counts of occurrence for categoricals (n x m array of arrays where n = number of labels and m = number of features + 1 with last element being occurrence count of labels

Annotations
@deprecated
Deprecated

(Since version 3.3.0) Functionality replaced by Array[CategoricalGroupStats]

Linear Supertypes
Serializable, Serializable, Product, Equals, MetadataLike, AnyRef, Any
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  1. CategoricalStats
  2. Serializable
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  4. Product
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Instance Constructors

  1. new CategoricalStats(categoricalFeatures: Array[String] = Array.empty, cramersVs: Array[Double] = Array.empty, pointwiseMutualInfos: Type = LabelWiseValues.empty, mutualInfos: Array[Double] = Array.empty, counts: Type = LabelWiseValues.empty)

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    categoricalFeatures

    Names of features that we performed categorical tests on

    cramersVs

    Values of cramersV for each feature (should be the same for everything coming from the same contingency matrix)

    pointwiseMutualInfos

    Map from label value (as a string) to an Array (over features) of PMI values

    mutualInfos

    Values of MI for each feature (should be the same for everything coming from the same contingency matrix)

    counts

    Counts of occurrence for categoricals (n x m array of arrays where n = number of labels and m = number of features + 1 with last element being occurrence count of labels

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. val categoricalFeatures: Array[String]

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    Names of features that we performed categorical tests on

  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  7. val counts: Type

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    Counts of occurrence for categoricals (n x m array of arrays where n = number of labels and m = number of features + 1 with last element being occurrence count of labels

  8. val cramersVs: Array[Double]

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    Values of cramersV for each feature (should be the same for everything coming from the same contingency matrix)

  9. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  10. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  11. final def getClass(): Class[_]

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    AnyRef → Any

  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  13. val mutualInfos: Array[Double]

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    Values of MI for each feature (should be the same for everything coming from the same contingency matrix)

  14. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  15. final def notify(): Unit

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    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  17. val pointwiseMutualInfos: Type

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    Map from label value (as a string) to an Array (over features) of PMI values

  18. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  19. def toMetadata(skipUnsupported: Boolean): Metadata

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    Converts to Metadata

    Converts to Metadata

    skipUnsupported

    skip unsupported values

    returns

    Metadata metadata

    Definition Classes
    CategoricalStats → MetadataLike
    Exceptions thrown

    RuntimeException in case of unsupported value type

  20. def toMetadata(): Metadata

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    Converts to Metadata

    Converts to Metadata

    returns

    Metadata metadata

    Definition Classes
    MetadataLike
    Exceptions thrown

    RuntimeException in case of unsupported value type

  21. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  22. final def wait(arg0: Long, arg1: Int): Unit

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    AnyRef
    Annotations
    @throws( ... )

  23. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from MetadataLike

Inherited from AnyRef

Inherited from Any

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